IT Transformation Defined

Businesses depend on IT to effectively manage business processes and to provide products and services to clients. As IT technologies advance, it is crucial that businesses update their hardware to remain competitive. But businesses should do more than simply upgrade their servers and should really strive to effect IT transformation.

What is IT Transformation?

IT transformation is the ongoing process of changing the way that a company uses IT to better align it with current business goals. Through the IT transformation process, businesses try to determine whether they are meeting mission-critical benchmarks through the incorporation of new IT technologies for corporate transformation.

For example, if one of the current business concerns is whether the company can improve customer service, the IT system will need to evolve in such a way that improves customer service in a measurable way.

Successfully Aligning the Technology to Business Goals

In order to successfully align the IT system with business goals, it is important to understand the newly integrated technologies to understand how they can change business processes. If a new feature is intended to make the server more secure, the management should know exactly how the feature will improve the security of the server and whether the new implementation is redundant.

Once the business objectives have been identified, IT transformation is carried out by changing both the software and hardware used by the company. An example would be the growing trend of server migration to the cloud. Cloud computing is the growing trend of making files and data accessible from anywhere. If an organisation believes that it can improve productivity through a server cloud migration, it will need a way to test this.

The IT Transformation Process

Given that IT transformation is directly related to the core business, the IT transformation process must begin by identifying which aspects of the company must be changed. Then, the company must determine?IT services that could potentially be integrated into the business in a way that will help the company achieve benchmarks. After the key decision-makers understand the IT network well enough to effectively implement it, the company must efficiently manage the transformation process. Then, after the IT has been integrated, the company must have a system in place to measure business transformation in a numerical way.

For example, when assessing customer satisfaction, one effective strategy would be to distribute customer satisfaction surveys that ask customers to rate their experiences on a scale of one to ten. The company can then measure the results of the customer satisfaction survey to determine whether the new IT implementations are accomplishing their intended goals.

If the expected benchmarks are not being met, the next step in the IT transformation process is to determine if there is a specific reason for that. Is there a way that the feature can be better integrated to achieve desired business objectives? Are there other features that can help the company better achieve its goals?

Upgrading a network can be an expensive process and it is important to identify early on which options are the most likely to benefit the company’s bottom line.

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What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

  • Make our call centre operation nimble
  • Reduce the average time to handle calls
  • Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

  1. Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.
  1. Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.
  1. Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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IT Security and the Threats from Within

When the economy makes a downturn, companies, then eventually, employees suffer. Now, I’m sure you’re wary of frustrated laid-off employees stealing valuable data. Who knows? That information might end up in the hands of your competitors. Then as if that threat weren’t enough, there may be jobless IT specialists who turn to rogue activities either to earn a quick buck or simply out of lack of anything productive to do.

That’s not all, as we’ve got more news for you. When we think of IT Security, what instantly comes to mind are hackers and acts laced with mal-intent. However, a recent worldwide survey on IT security showed organisations were more inclined to expect data leakage as a result of accidental exposure by employees (45%) than of anything maliciously performed by an external entity (15%).

If you’re not aware of this, you’ll be focusing your spending on protection against incoming attacks while exposing your innards through accidental leakages. Our solution? While we’ll naturally provide your data with protection from outside threats, we’ll also put special attention in protecting it from the inside.

The defences we’ll put up include:

  • Data Loss Prevention
  • Network Security
  • Firewalls
  • Malware
  • Authentication and Access Control
  • Mobile Security
  • Forensics

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